Michela Chiappalone

Project Coordinator & IIT Principal Investigator

Address

Contact

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+39 010 70781 743

+39 010 70781 230

Miscellaneous Information

Michela Chiappalone graduated in Electronic Engineering (summa cum laude) at the University of Genova in 1999 and obtained a PhD in Electronic Engineering and Computer Science from the same University in 2003. In 2002, she was visiting scholar at the Dept. of Physiology of the Northwestern University (Chicago, IL, USA), under the supervision of Prof F.A. Mussa-Ivaldi.

From 2003 to 2006 she got a fellowship from the University of Genova ('Assegno di ricerca'), under the supervision of Prof. S. Martinoia.

Since 2007, she has been senior post-doc at the Istituto Italiano di Tecnologia (IIT) in the Neuroscience and Brain Technologies Dept., NeuroTech Unit led by Prof. J. A. Assad.

Research Interests

- Design and development of algorithms for multichannel data analysis.

Projects

In past years, Michela Chiappalone was involved in two EU-funded projects ('A bioartificial brain with an artificial body: training a cultured neural tissue to support the purposive behavior of an artificial body' - NEUROBIT; 'Imaging device for electrophysiological activity monitoring of neuronal cell cultures' – IDEA). Additionally, she was involved in several National projects.

Currently she is involved in the following projects:

- Linking biological and artificial neuronal assemblies to restore lost brain functions: towards the design of innovative bi-directional neuroprostheses – BRAIN-BOW, European Union 'FET Open Young Explorers', started 01-02-2012. Role: coordinator of the project and PI for the IIT unit. Four partners.

- Spring semester 2009: Professor of the integrative course 'Techniques for the analysis of multichannel neuronal signals' (20 hours), part of the course of 'Methods and techniques for neuroengineering' (University of Genova).

- Spring semester 2010, Spring semester 2011: Professor of the integrative course 'Techniques for the analysis of multichannel neuronal signals' (30 hours), part of the course of 'Neuroengineering and computational neuroscience' (University of Genova).

- June 2010, July 2011: Lecturer of 'Signal processing tools for multi-electrode data' (8 hours), a course directed to the students of the PhD school in Humanoid Technologies (Istituto Italiano di Tecnologia).

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The BrainBow project acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: FP7-284772.